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Title:

Link Travel Time Approximation in Double Queue Traffic Model

Accession Number:

01594221

Record Type:

Component

Abstract:

Double queue concept has recently been applied in continuous-time dynamic user assignment (DUE) because it can capture queue spillbacks by presenting link dynamics with capacitated upstream and downstream queues. While directly solving such DUE problems with time-varying, state-dependent delays is extremely challenging, some approximation schemes (called first-order approximation technique in this paper) have been proposed to simplify the link travel time calculation in a recent study on double-queue-based continuous-time DUE model. This paper mainly focuses on analyzing the performance and the properties of such approximated travel times. It is proved that with the first-order approximation, FIFO is guaranteed for network with fixed link capacities but may be violated if link capacities are time-varying. Numerical analysis is conducted on a simple stretch network with travel times computed based on accumulative inflow and exit flow curves, point queue model, the second-order approximation for comparison. The results state that if the demand is larger than the link capacities, the first-order approximation techniques lead to either overestimated or underestimated link travel times. In addition, overall the double queue model can produce relatively higher performance than the point queue model and the second-order approximated results are slightly better than the first-order approximated results.

Supplemental Notes:

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-5885

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yang, Xia
Ban, Xuegang (Jeff)
Ma, Rui

Pagination:

17p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-5885

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:36PM